RRepoGEO

REPOGEO REPORT · LITE

aotakeda/learn-thing

Default branch main · commit 2cb487a0 · scanned 6/9/2026, 9:53:16 AM

GitHub: 571 stars · 41 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface aotakeda/learn-thing, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README H1 and opening sentence to clarify application type

    Why:

    CURRENT
    # Mind Map Visualization Project

This is a simple Next.js project that implements a mind map visualization tool using React Flow.
    COPY-PASTE FIX
    # AI-Powered Mind Map Generator & Visualizer

An interactive web application for creating, visualizing, and exporting mind maps, leveraging local (Ollama) or external (OpenAI) AI models.
  • mediumreadme#2
    Add a 'Who is this for?' section to the README

    Why:

    COPY-PASTE FIX
    ## Who is this for?

`learn-thing` is designed for students, researchers, educators, and anyone looking to quickly generate and visualize complex concepts using AI. It's ideal for brainstorming, studying, and organizing information in an interactive mind map format.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface aotakeda/learn-thing
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ChatGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatGPT · recommended 1×
  2. GPT-4 API · recommended 1×
  3. MindMeister · recommended 1×
  4. XMind · recommended 1×
  5. Coggle · recommended 1×
  • CATEGORY QUERY
    How can I generate and visualize mind maps from various inputs using AI?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. GPT-4 API
    3. MindMeister
    4. XMind
    5. Coggle
    6. Obsidian
    7. Text Generator (nhaouari/obsidian-text-generator)
    8. Mind Map (lynchjames/obsidian-mind-map)
    9. Mermaid.js (mermaid-js/mermaid)
    10. LangChain (langchain-ai/langchain)
    11. LlamaIndex (run-llama/llama_index)
    12. Lucidchart
    13. Miro

    AI recommended 13 alternatives but never named aotakeda/learn-thing. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an interactive web application to explore AI-assisted learning concepts, supporting local models.
    you: not recommended
    AI recommended (in order):
    1. Gradio
    2. Streamlit
    3. Hugging Face Spaces
    4. Jupyter Notebooks
    5. JupyterLab
    6. ipywidgets
    7. Dash by Plotly

    AI recommended 7 alternatives but never named aotakeda/learn-thing. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of aotakeda/learn-thing?
    pass
    AI named aotakeda/learn-thing explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts aotakeda/learn-thing in production, what risks or prerequisites should they evaluate first?
    pass
    AI named aotakeda/learn-thing explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo aotakeda/learn-thing solve, and who is the primary audience?
    pass
    AI did not name aotakeda/learn-thing — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of aotakeda/learn-thing. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/aotakeda/learn-thing.svg)](https://repogeo.com/en/r/aotakeda/learn-thing)
HTML
<a href="https://repogeo.com/en/r/aotakeda/learn-thing"><img src="https://repogeo.com/badge/aotakeda/learn-thing.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

aotakeda/learn-thing — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite